Real-time optical tracking system wins 2015 EMVA Young Professional Award

Benjamin Busam, a student at the Technical University of Munich, has won the 2015 EMVA Young Professional Award, which honors the innovative work of a student or young professional in the field of machine vision or image processing each year.

Content Dam Vsd En Articles 2015 06 Real Time Optical Tracking System Wins 2015 Emva Young Professional Award Leftcolumn Article Headerimage File

Benjamin Busam, a student at the Technical University of Munich, has won the 2015 EMVA Young Professional Award, which honors the innovative work of a student or young professional in the field of machine vision or image processing each year.

The vision system developed by Busam is an adaptable high-resolution tracking system based on stereo vision that can be used for real-time tracking applications. The technological advantage, according to the EMVA, lies in the ability for the system to overcome current practical difficulties such as line of sight problems while opening the way for further developments of inside-out tracking solutions in the medical domain.

Targeting medical applications as well as industrial tasks such as robot-guidance and 3D measurements, the optical tracking system facilitates high-precision, real-time pose estimation of tools and objects with a new concept in both hardware and software, which operates even in case of partial object occlusion.

Busam is an external PhD student in informatics with focus on Computer Vision at the Chair for Computer Aided Medical Procedures of the Technical University of Munich who works for FRAMOS as a development engineer in the imaging systems department.

With the Young Professional Award, the EMVA hopes to further support innovation in the machine vision industry and to provide a bridge between research and industry. It intends to specifically encourage students to focus on challenges in the field of machine vision and to apply latest research results and findings in computer vision to the practical needs of the industry.

Last year, the award was given to Jakob Engel, a (then) 27-year old PhD Student in the Computer Vision Group at the Technical University of Munich, Germany. Engel received the award for his novel approach to real-time visual odometry for a monocular camera. He developed a semi-dense method for estimating the 3D movement of a monocular camera from recorded video while simultaneously estimating the 3D structure of a given environment, according to the EMVA.

Next year’s EMVA Business Conference will take place from June 9-11 in Edinburgh, Scotland.

View more information on the EMVA.

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